Uses Memphis as a case study for food deserts and explores the stark socioeconomic discrepancies there, and shows how a basic human right is missing for a large chunk of the population.

Recommended as a resource for Presentation 2.1, but feel free to explore for other sources too. Includes demographics like education, health, economy, business, and geography.

Interactive map of the US that allows you to zoom in on the various districts across the country and find out more about related statistics and filter by income, access, and component layers.

Connected to Activity 2.4, this YouTube video shows simple, straightforward methods of data clustering that require no background mathematical knowledge. Watch until 7:30. Please refer to the course guide for applications.

This CSU East Bay research paper investigates the use of k-means as a method to find ideal sites for food desert intervention, using the locale of the Bay Area

A very visual tutorial on principal component analysis. Talks about dimensionality reduction, housing data, the mean, the covariance matrix, and linear transformations, among other things.

A basic intro to the Gini Coefficient with wonderful visuals from the Singapore Department of Statistics.

Official source that gives the Gini Coefficient throughout the US by county.

Mentions the various details which go into defining a food desert and how the USDA's food desert locator works.

Although lengthy, this USDA document covers methods used for defining food deserts, with socioeconomic demographic statistics, as well as transportation/mobility characteristics. It also shows changes in characteristics over time. Not intended to give you food desert definitions but to aid you in formulating your own, along with other material.

Although this isn't a primary source, this contains the CDC's definition of a food desert, which may be a useful alternative.

Written in a very accessible style, this article covers K-means clustering, along with elbow plots.

Although this is not in the context of food deserts, this tutorial is thoroughly laid out.

See 16:44 for another food desert definition. Overall this video shows how GIS technology can be used to highlight food desert logistics and challenges. Example cities include Pittsburgh, New York, and Philadelphia.